PickShift: A user-friendly Python tool to assess the surficial uncertainties associated with polygons extracted from historical planimetric data

Authors

Institutions

Publication Details

Journal
SoftwareX
Published
2024-09-01
DOI
https://doi.org/10.1016/j.softx.2024.101866
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PickShift: A user-friendly Python tool to assess the surficial uncertainties associated with polygons extracted from historical planimetric data

Pierre‐Alexis Herrault, Laurent Schmitt, Gilles Rixhon, Valentin Chardon et al.
SoftwareX
Land Use and Ecosystem Services
article

PickShift: A user-friendly Python tool to assess the surficial uncertainties associated with polygons extracted from historical planimetric data

Pierre‐Alexis Herrault, Laurent Schmitt, Gilles Rixhon, Valentin Chardon, Timothée Jautzy, Pierrick Freys, Romain Wenger
article en

Abstract

No abstract available for this paper.
SoftwareXVol. 27
Centre National de la Recherche Scientifique (FR), Laboratoire Image, Ville, Environnement (FR), Université de Strasbourg (FR)
Openalex Percentile: Top 87%
Land Use and Ecosystem Services
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.